Predictable Forecast Errors in Full-Information Rational Expectations Models with Regime Shifts

Ina Hajdini, André Kurmann
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引用次数: 5

Abstract

This paper shows that regime shifts in Full-Information Rational Expectations (FIRE) models generate predictable regime-dependent forecast errors in macro aggregates. Hence, forecast error predictability alone is neither sufficient to reject FIRE nor informative about alternative expectations theories. We instead propose a regime-robust test of FIRE and apply it to a medium-scale New Keynesian model with monetary policy regime shifts that is estimated on US data. While the test fails to decisively reject FIRE, the model conditional on macro data implies expectations that are generally different from observed survey forecasts, thus providing a new empirical motivation for alternative expectations theories.
具有时变的全信息理性预期模型中的可预测预测误差
本文表明,全信息理性预期(FIRE)模型中的制度变迁会在宏观总量中产生可预测的制度依赖性预测误差。因此,预测误差可预测性本身既不足以否定 FIRE 模型,也不能为其他预期理论提供信息。相反,我们提出了一种对 FIRE 进行制度稳健性检验的方法,并将其应用于一个根据美国数据估算的、具有货币政策制度转换的中等规模新凯恩斯主义模型。虽然该检验未能决定性地拒绝 FIRE,但该模型在宏观数据条件下暗示的预期与观察到的调查预测普遍不同,从而为替代预期理论提供了新的经验动机。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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